MLR-Net: A multi-layer residual convolutional neural network for leather defect segmentation
It is critical to recognize anomalous features in wet-blue leather samples as part of industrial
quality control in the leather industry. In industrial settings, manual inspection of leather …
quality control in the leather industry. In industrial settings, manual inspection of leather …
Computer-aided diagnosis of COVID-19 from chest X-ray images using histogram-oriented gradient features and Random Forest classifier
The decision-making process is very crucial in healthcare, which includes quick diagnostic
methods to monitor and prevent the COVID-19 pandemic disease from spreading …
methods to monitor and prevent the COVID-19 pandemic disease from spreading …
An improved automatic defect identification system on natural leather via generative adversarial network
The past decade has witnessed an impetus in the rise of artificial intelligence techniques in
a diverse range of computer vision-relevant applications. Specifically, automated optical …
a diverse range of computer vision-relevant applications. Specifically, automated optical …
A novel hybrid attention gate based on vision transformer for the detection of surface defects
Many advanced models have been proposed for automatic surface defect inspection.
Although CNN-based methods have achieved superior performance among these models, it …
Although CNN-based methods have achieved superior performance among these models, it …
A multi-scale attention mechanism for detecting defects in leather fabrics
H Li, Y Liu, H Xu, K Yang, Z Kang, M Huang, X Ou… - Heliyon, 2024 - cell.com
Defect detection is critical to industrial quality control in leather production engineering. The
various sizes and locations of defects in leather, as well as significant differences within the …
various sizes and locations of defects in leather, as well as significant differences within the …
Weather forecasting framework for time series data using intelligent learning models
S Raksha, JS Graceline, J Anbarasi… - 2021 5th …, 2021 - ieeexplore.ieee.org
Weather prediction is an important field in meteorology which has to be solved most
accurately. Weather forecasting has been one of the leading challenging issues across the …
accurately. Weather forecasting has been one of the leading challenging issues across the …
Fabric defect detection using deep learning techniques
K Gopalakrishnan, PT Vanathi - International Conference on Ubiquitous …, 2021 - Springer
The textile production is one of the significant income to the Indian economy. In textile
industry, defective production of cloth leads to the loss of profit and quality. To improve the …
industry, defective production of cloth leads to the loss of profit and quality. To improve the …
[PDF][PDF] Lightweight network study of leather defect segmentation with Kronecker product multipath decoding
Z Zhang, Y Fu, H Huang, F Rao… - Mathematical Biosciences …, 2022 - aimspress.com
In the leather production process, defects on the leather surface are a key factor in the
quality of the finished leather. Leather defect detection is an important step in the leather …
quality of the finished leather. Leather defect detection is an important step in the leather …
Variabilidad estadística en la producción del cuero de la empresa Curtiembre Quisapincha
EI Chuquiana Tamaquiza - 2024 - repositorio.uta.edu.ec
The scarce quality control in the tanning industry represents a problem for small and
medium-sized companies. In this sense, the research focused on determining the statistical …
medium-sized companies. In this sense, the research focused on determining the statistical …